2.1.0 - 2019-03-11

Added

• #29 Provide understandable error messages for more glmnet solver errors.
• #31 Expose max_features parameter in ElasticNet and LogitNet.
• #34 Use sample weights in LogitNet.
• #41 Add lower_limits and upper_limits parameters to ElasticNet and LogitNet, allowing users to restrict the range of fitted coefficients.

Changed

• #44 Change CircleCI configuration file from v1 to v2, switch to pytest and test in Python versions 3.4 - 3.7.
• #36 Convert README to .rst format for better display on PyPI (#35).
• #54 Use setuptools in setup.py and update author in metadata.

Fixed

• #24 Use shuffled splits (controlled by input seed) for cross validation (#23).
• #47 Remove inappropriate __init__.py from the root path (#46).
• #51 Satisfy scikit-learn estimator checks. Includes: Allow one-sample predictions; allow list inputs for sample weights; Ensure scikit-learn Estimator compatibility.
• #53 Return correct dimensions for 1-row predictions, with or without lambda path, in both LogitNet and ElasticNet (#52, #30, #25).